Set options
knitr::opts_chunk$set(
warning = FALSE, # show warnings during codebook generation
message = FALSE, # show messages during codebook generation
error = TRUE, # do not interrupt codebook generation in case of errors,
# usually better for debugging
echo = TRUE # show R code
)
ggplot2::theme_set(ggplot2::theme_bw())
Prepare codebook
library(codebook)
library(labelled)
# Load data
codebook_data <- vroom::vroom(here::here("Data/Processed/Exp1/Kan_Processed_Exp1_Sensitivity_Sentence_data.tsv"))
# Label variables
var_label(codebook_data$participant_id) <- "Unique identifier of the participant"
var_label(codebook_data$sentence_region_no) <- "Unique identifier of the sentence region"
var_label(codebook_data$sentence_region_type) <- "Type of the sentence region"
var_label(codebook_data$Congruent) <- "Mean residual reading time (ms) of the sentence regions in the congruent sentences"
var_label(codebook_data$Incongruent) <- "Mean residual reading time (ms) of the sentence regions in the incongruent sentences"
Create codebook
codebook(codebook_data)
Dataset name: codebook_data
The dataset has N=924 rows and 5 columns. 924 rows have no missing values on any column.
Metadata for search engines
|
#Variables
Unique identifier of the sentence region
Distribution of values for sentence_region_no
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| sentence_region_no | Unique identifier of the sentence region | numeric | 0 | 1 | 1 | 4 | 7 | 4 | 2.001083 | <U+2587><U+2583><U+2583><U+2583><U+2587> |
Unique identifier of the participant
Distribution of values for participant_id
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| participant_id | Unique identifier of the participant | numeric | 0 | 1 | 109 | 2051 | 3054 | 1913.189 | 708.4372 | <U+2581><U+2585><U+2581><U+2587><U+2583> |
Mean residual reading time (ms) of the sentence regions in the congruent sentences
Distribution of values for Congruent
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| Congruent | Mean residual reading time (ms) of the sentence regions in the congruent sentences | numeric | 0 | 1 | -130 | -2 | 153 | -2.948379 | 20.1055 | <U+2581><U+2582><U+2587><U+2581><U+2581> |
Mean residual reading time (ms) of the sentence regions in the incongruent sentences
Distribution of values for Incongruent
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| Incongruent | Mean residual reading time (ms) of the sentence regions in the incongruent sentences | numeric | 0 | 1 | -153 | 2.1 | 148 | 2.459493 | 21.40783 | <U+2581><U+2581><U+2587><U+2581><U+2581> |
Type of the sentence region
Distribution of values for sentence_region_type
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| sentence_region_type | Type of the sentence region | character | 0 | 1 | 3 | 0 | 13 | 24 | 0 |
JSON-LD metadata
The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.
{
"name": "codebook_data",
"datePublished": "2021-01-28",
"description": "The dataset has N=924 rows and 5 columns.\n924 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name |label | n_missing|\n|:--------------------|:------------------------------------------------------------------------------------|---------:|\n|sentence_region_no |Unique identifier of the sentence region | 0|\n|participant_id |Unique identifier of the participant | 0|\n|Congruent |Mean residual reading time (ms) of the sentence regions in the congruent sentences | 0|\n|Incongruent |Mean residual reading time (ms) of the sentence regions in the incongruent sentences | 0|\n|sentence_region_type |Type of the sentence region | 0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
"keywords": ["sentence_region_no", "participant_id", "Congruent", "Incongruent", "sentence_region_type"],
"@context": "http://schema.org/",
"@type": "Dataset",
"variableMeasured": [
{
"name": "sentence_region_no",
"description": "Unique identifier of the sentence region",
"@type": "propertyValue"
},
{
"name": "participant_id",
"description": "Unique identifier of the participant",
"@type": "propertyValue"
},
{
"name": "Congruent",
"description": "Mean residual reading time (ms) of the sentence regions in the congruent sentences",
"@type": "propertyValue"
},
{
"name": "Incongruent",
"description": "Mean residual reading time (ms) of the sentence regions in the incongruent sentences",
"@type": "propertyValue"
},
{
"name": "sentence_region_type",
"description": "Type of the sentence region",
"@type": "propertyValue"
}
]
}`